Dr. Zhebo Chen Profile

Dr. Zhebo Chen

at Hangzhou Dianzi Univ

SPIE Involvement:

Author

Publications (7)

PROCEEDINGS ARTICLE | December 19, 2013

Signal process research in quartz crystal chip counting system

Proc. SPIE. 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology

KEYWORDS: Optical components, Oscillators, Imaging systems, Cameras, Quartz, Image processing, Crystals, Interference (communication), Signal processing, Machine vision

Read Abstract

PROCEEDINGS ARTICLE | December 19, 2013

Defect inspection of quartz crystal based on machine vision

Proc. SPIE. 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology

KEYWORDS: Defect detection, Quartz, Image processing, Crystals, Inspection, Optical inspection, Light sources and illumination, Machine vision, Image filtering, Defect inspection

Read Abstract

SPIE Journal Paper | March 1, 2008

Stability research of one kind of high dynamic range imaging system

Xu, Jin , Chen, Zhebo , Ni, Xuxiang , Lu, Zukang

OE Vol. 47 Issue 03

KEYWORDS: High dynamic range imaging, Spatial light modulators, Liquid crystal on silicon, Imaging systems, Modulation, CMOS cameras, Image processing, Dynamical systems, Optical engineering, Range imaging

Read Abstract

PROCEEDINGS ARTICLE | January 29, 2007

A new method of glare protection on highway real-time monitoring during nighttime

Proc. SPIE. 6279, 27th International Congress on High-Speed Photography and Photonics

KEYWORDS: CMOS sensors, Digital image processing, Modulation, Imaging systems, Cameras, Image processing, Image analysis, Liquid crystal on silicon, Image sensors, Headlamps

Read Abstract

When car run in highway during night, need switch on its headlight, for intensity of the light is very high, it will cause glare vision, the camera of monitoring system will be saturation, and all the other detail (For example: License plate) can't be shown on the screen except headlight and its glare. In this paper, introduce a new system and method of glare protection on highway nighttime monitoring, it can decrease the intensity of headlight and the glare vision in real-time, so the monitoring system could gain more details of highway from camera. The whole system's hardware is made up of outer camera-lens, inner camera-lens, spatial light modulator array and image sensor. The outer camera-lens images the objects (cars on highway) on the plane of the spatial light modulator array's panel. So, the spatial light modulator array can modulate part of the image on its panel, such as decrease or increase transmission ratio (or reflect ratio). The inner camera-lens images the spatial light modulator array's panel to the image sensor. So, the image on the image sensor is the image of object image after modulated. After the image sensor gained the image, we will use our software to analyze the image, use real-time processing to get the saturation and glared region. Firstly, we use threshold arithmetic to get the saturation and high intensive pixels of the image; secondly, we use filter to get ride of the noise made from threshold arithmetic, so we can get the region of saturation and glare region of the original image; thirdly, we do expand arithmetic at the direction of car's moving, and feedback the image to spatial light modulator. If we don't use expand arithmetic at the direction of car's moving, and feedback the image gained after step 2, for the car in highway is moving very fast, after the time of image processing, the car has moved to a new location with it's direction, so the feedback image will not decrease the light intensity of the car's headlight and it's glare region properly. For these three processes are decreasing the intensity of the image region, we called it negative feedback. At same time, we do positive feedback to increase the transmission ratio (or reflect ratio) at the low light intensity region, so that more details of the object will be imaging on image sensor. In fact, the image feedback on the spatial light modulator array is the composite of the negative feedback and positive feedback. In experiment, the spatial light modulator array is liquid crystal on silicon (LCoS), all image processing is on computer, the feedback image transfers via DVI bus. For the limit of operation system, the feedback time is about 100ms.

PROCEEDINGS ARTICLE | January 11, 2007

Study on real-time images compounded using spatial light modulator

Proc. SPIE. 6279, 27th International Congress on High-Speed Photography and Photonics

KEYWORDS: Image fusion, CMOS sensors, Modulation, Imaging systems, Cameras, Image processing, Spatial light modulators, Liquid crystal on silicon, LCDs, Image sensors

Read Abstract

Image compounded technology is often used on film and its facture. In common, image compounded use image processing arithmetic, get useful object, details, background or some other things from the images firstly, then compounding all these information into one image. When using this method, the film system needs a powerful processor, for the process function is very complex, we get the compounded image for a few time delay. In this paper, we introduce a new method of image real-time compounded, use this method, we can do image composite at the same time with movie shot. The whole system is made up of two camera-lens, spatial light modulator array and image sensor. In system, the spatial light modulator could be liquid crystal display (LCD), liquid crystal on silicon (LCoS), thin film transistor liquid crystal display (TFTLCD), Deformable Micro-mirror Device (DMD), and so on. Firstly, one camera-lens images the object on the spatial light modulator's panel, we call this camera-lens as first image lens. Secondly, we output an image to the panel of spatial light modulator. Then, the image of the object and image that output by spatial light modulator will be spatial compounded on the panel of spatial light modulator. Thirdly, the other camera-lens images the compounded image to the image sensor, and we call this camera-lens as second image lens. After these three steps, we will gain the compound images by image sensor. For the spatial light modulator could output the image continuously, then the image will be compounding continuously too, and the compounding procedure is completed in real-time. When using this method to compounding image, if we will put real object into invented background, we can output the invented background scene on the spatial light modulator, and the real object will be imaged by first image lens. Then, we get the compounded images by image sensor in real time. The same way, if we will put real background to an invented object, we can output the invented object on the spatial light modulator and the real background will be imaged by first image lens. Then, we can also get the compounded images by image sensor real time. Commonly, most spatial light modulator only can do modulate light intensity, so we can only do compounding BW images if use only one panel which without color filter. If we will get colorful compounded image, we need use the system like three spatial light modulator panel projection. In the paper, the system's optical system framework we will give out. In all experiment, the spatial light modulator used liquid crystal on silicon (LCoS). At the end of the paper, some original pictures and compounded pictures will be given on it. Although the system has a few shortcomings, we can conclude that, using this system to compounding images has no delay to do mathematic compounding process, it is a really real time images compounding system.

PROCEEDINGS ARTICLE | January 11, 2007

A graduator test method based on dual dynamic image processing

Proc. SPIE. 6279, 27th International Congress on High-Speed Photography and Photonics

KEYWORDS: Microscopes, Imaging systems, Image processing, Error analysis, Image acquisition, Image sensors, Digital imaging, Precision measurement, Image enhancement, Data analysis

Read Abstract

The graduator is a very important standard device in the optical angular measuring instrument, which determines the measure precision of the measuring instrument. A new graduator test method is discussed in this paper. This test method is a dual dynamic imaging measurement method with dual digital microscope system, which acquires the images of the graduator rotated by a rotating motor. Here is the introduction of this method with more detail. At first, fix a graduator to be measured on a rotary stage, this stage will be driven by a high precision programmable motor. Make the stage rotate with a constant angular velocity ω. Then place the digital microscope system upon the graduator. The digital microscope system includes two digital microscopes, which placed in the opposite diameter direction. Each digital microscope is made up of optical lens and a CMOS electro-ocular. The sampling frequency f can be set in the control software of the elector-ocular. The two digital microscopes make up a dual dynamic image acquire system. This system can acquire two images of the moving graduator at the same time with the sampling frequency f. Then, a serial of the graduator images can be acquired after a period of rotation, and there is a constant angular difference ω/f between every adjacent image. Each image of the graduator includes several graduation lines, identify these lines and get the position of the lines with image processing method. The measuring value of the rotate angle can be calculated from the adjacent line positions. Use the angular difference ω/f as a standard value of the rotate angle. Compare the measuring value and the standard value with the "comparing method of graduator measurement" formula. A compare result will be given to judge the graduator is good or not at last. The whole system is divided into four functional units: 1,the motion control unit;2,the dual dynamic imaging unit; 3, the image processing unit; 4,the data analysis unit. The measurement principle is introduced in the first part of the paper. In this part, the background of graduator measurement and the theories of graduator measurement are referred. According to the measurement principle a system design is made in the second part of the paper. In this part, the whole measure system is described: the structure of the system, the function of each component and the specifications for the key components. An experiment system is build up under the design, and some measurement data is obtained, the error analyses of the measure data is given at the last of the paper.

Showing 5 of 7 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years